Abstract
A artificial neural network was assigned to modeling of hardness profiles in the nitrided layer. In the model developed, a feed-forward neural network was applied. The designed network possesses good capacities to generalize knowledge included in experiential data. Matching the model with the training data made it possible to determine, with a good approximation, hardness profiles, which make up a set of verifying data. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Lipiński, D., & Ski, J. R. (2007). Modeling of microhardness profile in nitriding processes using artificial neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4682 LNAI, pp. 245–252). Springer Verlag. https://doi.org/10.1007/978-3-540-74205-0_27
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